dataflows-tabulator-py is a library for reading and writing tabular data
(csv/xls/json/etc).
Features:
- Supports most common tabular formats: CSV, XLS, ODS, JSON, Google Sheets, SQL,
and others. See complete list below.
- Loads local and remote data: Supports HTTP, FTP and S3.
- Low memory usage: Only the current row is kept in memory, so you can large
datasets.
- Supports compressed files: Using ZIP or GZIP algorithms.
- Extensible: You can add support for custom file formats and loaders (e.g.
FTP).
NOTE: If this package has multiple flavors (see below), then use one of them instead of the name specified above. NOTE: This is a Python port. Instead of py311-dataflows-tabulator listed in the above command, you can pick from the names under the Packages section.
devel/py-dataflows-tabulator: Add py-dataflows-tabulator 1.54.3
dataflows-tabulator-py is a library for reading and writing tabular data
(csv/xls/json/etc).
Features:
- Supports most common tabular formats: CSV, XLS, ODS, JSON, Google Sheets, SQL,
and others. See complete list below.
- Loads local and remote data: Supports HTTP, FTP and S3.
- Low memory usage: Only the current row is kept in memory, so you can large
datasets.
- Supports compressed files: Using ZIP or GZIP algorithms.
- Extensible: You can add support for custom file formats and loaders (e.g.
FTP).
